Human-Computer Interaction


Series: Computer Science, Technology and Applications
BISAC: COM014000

Human Computer Interaction is used in all areas of our daily lives as a result of the rapid development of technology and computer systems. Human Computer Interaction is an interdisciplinary field of study involving the design and implementation of interactive technologies. The field of Human Computer Interaction is related to many areas such as human behavior, psychology, cognitive sciences, computer technologies, software engineering, ergonomics, graphic / industrial design, sociology and educational sciences. Researchers of this subject both observe the interaction of people with computers and design different technologies and examine the interaction of people with these technologies. The Human Computer Interaction system has four main components: user, task, tool, context.

Human Computer Interaction aims to develop interactive technologies through design, evaluation and implementation processes. The development of interactive technologies depends on usability. Usability can be determined by evaluating effectiveness, efficiency and satisfaction together. Effectiveness includes how much users can accomplish the tasks they are expected to do using the application; efficiency, how long the user has done the job; Satisfaction refers to the measure of the user’s ideas when using the application.

One of the major shortcomings in HCI is the transformation of theoretical knowledge into practice. The purpose of the book is to introduce students, teachers, researchers, and practitioners to new advances in HCI. The book includes theoretical and practical studies prepared with the academic contributions of scientists working in different fields. It was decided to publish each chapter in the book after being examined by the scientific board. As an editor, my duty is to ensure breadth, while the chapter authors treat the delegated chapters with depth.

The book is designed for practitioners or researchers of all levels of expertise from novice to expert. Each of the book’s individual topics could be considered as a compact, self-contained mini-book right under its title. The approach is to provide a framework and a set of techniques for evaluating and improving HCI. It presents a specific set of solutions, mostly obtained from real world projects and experimental studies, for routine applications. It further highlights promising emerging techniques for research and exploration opportunities.

The development team of this book wanted to thank their colleagues who made contributions to this book by providing continuous encouragements and thorough reviews of the chapters of the book.
(Imprint: Nova)

Table of Contents

Table of Contents


Chapter 1. A Review on EEG controlled BCI: Deep Learning Approach
(Caglar Uyulan, Turker Tekin Erguzel and Nevzat Tarhan, Department of Mechatronics Engineering, Bulent Ecevit University, Zonguldak, Turkey, and others)

Chapter 2. A Hybrid Facial Emotion Recognition Framework Using Deep Learning Methodologies
(Abdullah Asım Yılmaz, Mehmet Serdar Güzel, İman Askerbeyli and Erkan Bostancı, Department of Computer Engineering, Ankara University, Ankara, Turkey, and others)

Chapter 3. Design of a Versatile and Rapid Calculator for Oncological Computations
(Çiğdem Dinçkal, Department of Civil Engineering, Çankaya University, Ankara, Turkey)

Chapter 4. The Use of Interpolation Methods for Modelling Human Body Motion
(Egemen Halıcı, Erkan Bostancı, Sevgi Yiğit-Sert, Mehmet Serdar Güzel and Nadia Kanwal, Department of Computer Engineering, Ankara University, Ankara, Turkey, and others)

Chapter 5. A Survey of Moving Target Traveling Salesman Problem
(Ukbe Uçar and Selçuk Kürşat İşleyen, Department of Industrial Engineering, Fırat University, Elazığ, Turkey, and others)

Chapter 6. Static and Dynamic Mechanical Engineering Evaluation of AIS-307 Stainless Steel Construction Scaffolding-Formworks System in Forming Ground Concrete: A Comparative Experimental Study and ANSYS Design Optimisation by Simulation Technology
(Özdoğan Karaçalı, Department of Mechanical Engineering, Istanbul University-Cerrahpaşa, Istanbul, Turkey)

Chapter 7. Geological Strength Index (GSI) Determination by Local Image Descriptors and Machine Learning Methods
(Ahmet Selman Bozkir, Hakan Ahmet Nefeslioglu, Ogan Kartal, Ebru Akcapinar Sezer and Candan Gokceoglu, Department of Computer Engineering, Hacettepe University, Ankara, Turkey, and others)


Additional Information

Keywords: Artificial Intelligence, Optimization, Human-Computer Interaction, Robotic, Computer Science

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